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Wellbeing Machine
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Download or read book Wellbeing Machine written by Kim McLeod and published by . This book was released on 2017 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wellbeing Machine shows how wellbeing arises in the intimate processes of daily life. Wellbeing and illbeing are generally seen as interior states of the individual, which can readily be linked to individuals being blamed for the status of their wellbeing. This book shifts attention away from the individual and onto the collective body. This approach generates a conceptual entity called the wellbeing machine, which comprises four assemblages that represent different responses to the challenges of everyday life experienced by people with depression. In this manner, wellbeing emerges from assemblages that transform in a sustainable way over time. Assemblages associated with illbeing are generative and vital to the production of wellbeing. Wellbeing Machine shifts discussion about the wellbeing bioeconomy into new terrain. It investigates the intersections between emergent wellbeing and labour, power, and capitalism, and produces knowledge about wellbeing that does not contribute negative associations about individuals¿ wellbeing levels.
Download or read book Well-Being written by Neera K. Badhwar and published by Oxford University Press. This book was released on 2014-06-02 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a new argument for the ancient claim that well-being as the highest prudential good -- eudaimonia --consists of happiness in a virtuous life. The argument takes into account recent work on happiness, well-being, and virtue, and defends a neo-Aristotelian conception of virtue as an integrated intellectual-emotional disposition that is limited in both scope and stability. This conception of virtue is argued to be widely held and compatible with social and cognitive psychology. The main argument of the book is as follows: (i) the concept of well-being as the highest prudential good is internally coherent and widely held; (ii) well-being thus conceived requires an objectively worthwhile life; (iii) in turn, such a life requires autonomy and reality-orientation, i.e., a disposition to think for oneself, seek truth or understanding about important aspects of one's own life and human life in general, and act on this understanding when circumstances permit; (iv) to the extent that someone is successful in achieving understanding and acting on it, she is realistic, and to the extent that she is realistic, she is virtuous; (v) hence, well-being as the highest prudential good requires virtue. But complete virtue is impossible for both psychological and epistemic reasons, and this is one reason why complete well-being is impossible.
Book Synopsis The Health Machine by : Erica Margaret Bates
Download or read book The Health Machine written by Erica Margaret Bates and published by Puffin. This book was released on 1985 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Optimized Predictive Models in Health Care Using Machine Learning by : Sandeep Kumar
Download or read book Optimized Predictive Models in Health Care Using Machine Learning written by Sandeep Kumar and published by John Wiley & Sons. This book was released on 2024-02-08 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: OPTIMIZED PREDICTIVE MODELS IN HEALTH CARE USING MACHINE LEARNING This book is a comprehensive guide to developing and implementing optimized predictive models in healthcare using machine learning and is a required resource for researchers, healthcare professionals, and students who wish to know more about real-time applications. The book focuses on how humans and computers interact to ever-increasing levels of complexity and simplicity and provides content on the theory of optimized predictive model design, evaluation, and user diversity. Predictive modeling, a field of machine learning, has emerged as a powerful tool in healthcare for identifying high-risk patients, predicting disease progression, and optimizing treatment plans. By leveraging data from various sources, predictive models can help healthcare providers make informed decisions, resulting in better patient outcomes and reduced costs. Other essential features of the book include: provides detailed guidance on data collection and preprocessing, emphasizing the importance of collecting accurate and reliable data; explains how to transform raw data into meaningful features that can be used to improve the accuracy of predictive models; gives a detailed overview of machine learning algorithms for predictive modeling in healthcare, discussing the pros and cons of different algorithms and how to choose the best one for a specific application; emphasizes validating and evaluating predictive models; provides a comprehensive overview of validation and evaluation techniques and how to evaluate the performance of predictive models using a range of metrics; discusses the challenges and limitations of predictive modeling in healthcare; highlights the ethical and legal considerations that must be considered when developing predictive models and the potential biases that can arise in those models. Audience The book will be read by a wide range of professionals who are involved in healthcare, data science, and machine learning.
Book Synopsis Handbook of Health System Resilience by : Steve Thomas
Download or read book Handbook of Health System Resilience written by Steve Thomas and published by Edward Elgar Publishing. This book was released on 2024-09-06 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this Handbook, Steve Thomas and Padraic Fleming compile invaluable and original insights on the resilience of health systems in the face of shocks and crises, from economic and climate emergencies, to conflicts and pandemics. They examine how health system resilience has been conceptualised by scholars and applied in specific contexts, assessing different theoretical models for measuring and evaluating resilience, as well as highlighting the growing challenges facing health systems now and in the future.
Book Synopsis Machine Learning and AI for Healthcare by : Arjun Panesar
Download or read book Machine Learning and AI for Healthcare written by Arjun Panesar and published by Apress. This book was released on 2019-02-04 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges. You’ll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You’ll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization. Machine Learning and AI for Healthcare provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of AI applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning and the Internet of Things. What You'll LearnGain a deeper understanding of key machine learning algorithms and their use and implementation within wider healthcare Implement machine learning systems, such as speech recognition and enhanced deep learning/AI Select learning methods/algorithms and tuning for use in healthcare Recognize and prepare for the future of artificial intelligence in healthcare through best practices, feedback loops and intelligent agentsWho This Book Is For Health care professionals interested in how machine learning can be used to develop health intelligence – with the aim of improving patient health, population health and facilitating significant care-payer cost savings.
Book Synopsis Smart Cities and Machine Learning in Urban Health by : Thomas, J. Joshua
Download or read book Smart Cities and Machine Learning in Urban Health written by Thomas, J. Joshua and published by IGI Global. This book was released on 2021-11-12 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: The perception of smart cities encompasses a strategy that uses different types of technologies, artificial intelligence (AI), and machine learning and in which, through the internet of things (IoT) and sensor-based data collection, the strategy extrapolates information using insights gained from that data to manage or monitor or track assets, resources, and services efficiently in an urban area. Both these models deeply affect the localities where they are applied and can create together immense possibilities for urban recovery, better quality of life, physical and mental health protection, and economic and social redevelopment. Smart Cities and Machine Learning in Urban Health promotes interdisciplinary work that develops and illustrates the concept of resilience in relation to smart city and machine learning. The book examines the ability of an area and its communities to recover quickly from difficulties; the rigidness and resistance of an area and its communities to possible crisis; the ability of an area, its communities, infrastructure, and business to spring back into shape; and the responsiveness and mitigation towards the crisis with a special look at the impact of the COVID-19 pandemic. The research’s theoretical foundation rests on a wide range of non-architectural sources, primarily AI, sociology, urban studies, and technological development, but it explores everything on cases taken from real cities, thus transforming them into pieces of architectural interest. Covering topics such as carbon emissions, digital healthcare systems, and urban transformation, this book is an essential resource for graduate and post-graduate students, policymakers, researchers, university faculty, engineers, public management, hospital administration, professors, and academicians.
Book Synopsis Smart Technologies in Healthcare Management by : Nidhi Sindhwani
Download or read book Smart Technologies in Healthcare Management written by Nidhi Sindhwani and published by CRC Press. This book was released on 2024-06-28 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offering a holistic view of the pioneering trends and innovations in smart healthcare management, this book focuses on the methodologies, frameworks, design issues, tools, architectures, and technologies necessary to develop and understand intelligent healthcare systems and emerging applications in the present era. Smart Technologies in Healthcare Management: Pioneering Trends and Applications provides an overview of various technical and innovative aspects, challenges, and issues in smart healthcare, along with recent and novel findings. It highlights the latest advancements and applications in the field of intelligent systems and explores the importance of cloud computing and the design of sensors in an IoT system. The book offers algorithms and a framework with models in machine learning and AI for smart healthcare management. A detailed flow chart and innovative and modified methodologies related to intelligent computing in healthcare are discussed, as well as real-world-based examples so that readers can compare technical concepts with daily life concepts. This book will be a useful reference for academicians and the healthcare industry, along with professionals interested in exploring innovations in varied applicational areas of AI, IoT, and machine learning. Researchers, startup companies, and entrepreneurs will also find this book of interest.
Book Synopsis Sustainable Wellbeing Futures by : Robert Costanza
Download or read book Sustainable Wellbeing Futures written by Robert Costanza and published by Edward Elgar Publishing. This book was released on 2020-05-29 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ecological economics can help create the future that most people want – a future that is prosperous, just, equitable and sustainable. This forward-thinking book lays out an alternative approach that places the sustainable wellbeing of humans and the rest of nature as the overarching goal. Each of the book’s chapters, written by a diverse collection of scholars and practitioners, outlines a research and action agenda for how this future can look and possible actions for its realisation.
Book Synopsis Computers and Games for Mental Health and Well-Being by : Yasser Khazaal
Download or read book Computers and Games for Mental Health and Well-Being written by Yasser Khazaal and published by Frontiers Media SA. This book was released on 2018-07-12 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have seen important developments in the computer and game industry, including the emergence of the concept of serious games. It is hypothesized that tools such as games, virtual reality, or applications for smartphones may foster learning, enhance motivation, promote behavioral change, support psychotherapy, favor empowerment, and improve some cognitive functions. Computers and games may create supports for training or help people with cognitive, emotional, or behavioral change. Games take various formats, from board games to informatics to games with interactive rules of play. Similarly, computer tools may vary widely in format, from self-help or assisted computerized training to virtual reality or applications for smartphones. Some tools that may be helpful for mental health were specifically designed for that goal, whereas others were not. Gamification of computer-related products and games with a numeric format tend to reduce the gap between games and computers tools and increase the conceptual synergy in such fields. Games and computer design share an opportunity for creativity and innovation to help create, specifically design, and assess preventive or therapeutic tools. Computers and games share a design conception that allows innovative approaches to overcome barriers of the real world by creating their own rules. Yet, despite the potential interest in such tools to improve treatment of mental disorders and to help prevent them, the field remains understudied and information is under-disseminated in clinical practice. Some studies have shown, however, that there is potential interest and acceptability of tools that support various vehicles, rationales, objectives, and formats. These tools include traditional games (e.g., chess games), popular electronic games, board games, computer-based interventions specifically designed for psychotherapy or cognitive training, virtual reality, apps for smartphones, and so forth. Computers and games may offer a true opportunity to develop, assess, and disseminate new prevention and treatment tools for mental health and well-being. Currently, there is a strong need for state-of-the-art information to answer questions such as the following: Why develop such tools for mental health and well-being? What are the potential additions to traditional treatments? What are the best strategies or formats to improve the possible impact of these tools? Are such tools useful as a first treatment step? What is the potential of a hybrid model of care that combines traditional approaches with games and/or computers as tools? What games and applications have already been designed and studied? What is the evidence from previous studies? How can such tools be successfully designed for mental health and well-being? What is rewarding or attractive for patients in using such treatments? What are the worldwide developments in the field? Are some protocols under development? What are the barriers and challenges related to such developments? How can these tools be assessed, and how can the way that they work, and for whom, be measured? Are the potential benefits of such products specific, or can these additions be attributed to nonspecific factors? What are the users’ views on such tools? What are the possible links between such tools and social networks? Is there a gap between evidence-based results and market development? Are there any quality challenges? What future developments and studies are needed in the field?
Book Synopsis Community Health Nursing by : Shobana Gangadharan
Download or read book Community Health Nursing written by Shobana Gangadharan and published by Elsevier Health Sciences. This book was released on 2021-09-04 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: Complete and comprehensive coverage of Community health nursing II syllabus prescribed by the Indian Nursing Council. ‘Review Questions’ at the end of each chapter includes frequently asked questions of various universities as essays, short notes and short answer questions to prepare students thus supporting to prepare students. Chapter on National Health Programmes includes updated information from Ministry of Health and Family Welfare (Government of India) such as National Tuberculosis Elimination Programme & RMNCH+A. Chapter on Community Health approaches are explained in a comprehensive manner. Social issues and ways to handle them are discussed in detail based on the current societal needs.
Download or read book Nation's Health written by and published by . This book was released on 1921 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis New Materialisms and Environmental Education by : David A. G. Clarke
Download or read book New Materialisms and Environmental Education written by David A. G. Clarke and published by Taylor & Francis. This book was released on 2023-07-24 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: ‘New materialisms’ refers to a broad, contemporary, and significant movement of thought across the social sciences and cultural studies which attempts to (re)turn to, renew, or create alternative philosophies of matter. Such philosophies spring from multiple sources but are in general an attempt to bring the indissolubility of the social and environmental more forcefully into our analytical frames and modes of inquiry and tackle a perceived over-reliance on discourse and language in the so-called post-modern era of philosophy and social science. This movement in thought is underlaid by, and meets up with, the climate and biodiversity crises and the nature of the human condition (and modes of learning or becoming), within the field of environmental education. This volume brings together academics working at differing intersections of environmental education and new materialisms, highlighting tensions, knots, and lines of flight across and for research, practice, and theory. As such this collection draws on multiple interpretations and streams of thought within new materialisms and demonstrates their significance for those engaging with environmental education policy, practice and research. This book was originally published as a special issue of the journal Environmental Education Research.
Book Synopsis Artificial Intelligence in Health by : Fernando Koch
Download or read book Artificial Intelligence in Health written by Fernando Koch and published by Springer. This book was released on 2019-02-20 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-conference proceedings of the First International Workshop on Artificial Intelligence in Health, AIH 2018, in Stockholm, Sweden, in July 2018. This workshop consolidated the workshops CARE, KRH4C and AI4HC into a single event. The 18 revised full papers included in this volume were carefully selected from the 26 papers accepted for presentation out of 42 initial submissions. The papers present AI technologies with medical applications and are organized in three tracks: agents in healthcare; data science and decision systems in medicine; and knowledge management in healthcare.
Book Synopsis Smart Health Systems by : Sonali Vyas
Download or read book Smart Health Systems written by Sonali Vyas and published by Springer Nature. This book was released on 2021-08-24 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: The upcoming trends in healthcare are intended towards improving the overall quality of life. In the past,management of health issues were limited to clinics and hospitals and managing patient’s data and analyzing it. This procedure was difficult and time consuming. A great effort was also needed in diagnosing the cause and type of disease, but this all has changed now. As advancement in research and technologies, a positive impact on healthcare is seen. This book assesses the need and era of smart healthcare and delivers content relevant to current age and time. It describes the trend, usage and practicality of IWMDs i.e. Wearable Medical Device or Sensors (WMSs) and Implantable Medical Devices (IMDs) and how they enhance the awareness of daily healthcare.It establishes a relation and conjunction of daily healthcare monitoring with clinical healthcare. A healthcare system is called smart when there is an ability to make decisions, which comes from data analytics. Smart healthcare systems possess capability of data analytics and IoT based services which can be implemented on smart phones using cloud technology. This book discusses various research trends and technologies related to innovations and advancements for smart healthcare systems. It also elaborates challenges, scope upcoming techniques, devices and future directions for smart healthcare systems.The proposed book would in particular benefit researchers interested in interdisciplinary sciences, It would also be of value to faculty, research communities, and researchers from diverse disciplines who aspire to create new and innovative research initiatives.
Book Synopsis Technical Advancements of Machine Learning in Healthcare by : Hrudaya Kumar Tripathy
Download or read book Technical Advancements of Machine Learning in Healthcare written by Hrudaya Kumar Tripathy and published by Springer Nature. This book was released on 2021-02-27 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on various advanced technologies which integrate with machine learning to assist one of the most leading industries, healthcare. It presents recent research works based on machine learning approaches supported by medical and information communication technologies with the use of data and image analysis. The book presents insight about techniques which broadly deals in delivery of quality, accurate and affordable healthcare solutions by predictive, proactive and preventative methods. The book also explores the possible use of machine learning in enterprises, such as enhanced medical imaging/diagnostics, understanding medical data, drug discovery and development, robotic surgery and automation, radiation treatments, creating electronic smart records and outbreak prediction.
Book Synopsis Machine Learning in Chemical Safety and Health by : Qingsheng Wang
Download or read book Machine Learning in Chemical Safety and Health written by Qingsheng Wang and published by John Wiley & Sons. This book was released on 2023-02-06 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces Machine Learning Techniques and Tools and Provides Guidance on How to Implement Machine Learning Into Chemical Safety and Health-related Model Development There is a growing interest in the application of machine learning algorithms in chemical safety and health-related model development, with applications in areas including property and toxicity prediction, consequence prediction, and fault detection. This book is the first to review the current status of machine learning implementation in chemical safety and health research and to provide guidance for implementing machine learning techniques and algorithms into chemical safety and health research. Written by an international team of authors and edited by renowned experts in the areas of process safety and occupational and environmental health, sample topics covered within the work include: An introduction to the fundamentals of machine learning, including regression, classification and cross-validation, and an overview of software and tools Detailed reviews of various applications in the areas of chemical safety and health, including flammability prediction, consequence prediction, asset integrity management, predictive nanotoxicity and environmental exposure assessment, and more Perspective on the possible future development of this field Machine Learning in Chemical Safety and Health serves as an essential guide on both the fundamentals and applications of machine learning for industry professionals and researchers in the fields of process safety, chemical safety, occupational and environmental health, and industrial hygiene.
